Learning from data an introduction to statistical reasoning
Focuses on how to interpret psychological data and statistical results. This book uses repetition to enhance students' memories with multiple examples, reintroductions of the major concepts, and a focus on these concepts in the problems. It is suitable for undergraduate or beginning graduate st...
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|---|---|
| Format: | Book |
| Language: | English |
| Published: |
New York, NY
Lawrence Erlbaum Associates
2008
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| Edition: | Third edition |
| Subjects: | |
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| 100 | 1 | |a Glenberg, Arthur M. |e author | |
| 245 | 1 | 0 | |a Learning from data |b an introduction to statistical reasoning |c Arthur M. |
| 250 | |a Third edition | ||
| 264 | 1 | |a New York, NY |b Lawrence Erlbaum Associates |c 2008 | |
| 264 | 4 | |c © 2008 | |
| 300 | |a xvi, 561 pages |b illustrations |c 30 cm. + |e 1 CD ROM (4 ¾ in.) | ||
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| 500 | |a The book is accompanied by 1 CD ROM bearing the same call number and available at the circulation counter | ||
| 505 | 0 | |a 1. Why Statistics? -- 2. Frequency Distributions and Percentiles -- 3. Central Tendency and Variability -- 4. Scores and Normal Distributions -- 5. Overview of Inferential Statistics -- 6. Probability -- 7. Sampling Distributions -- 8. Logic of Hypothesis Testing -- 9. Power -- 10. Logic of Parameter Estimation -- 11. Inferences About Population Proportions Using the z Statistic -- 12. Inferences About u When o is Unknown : The Single-sample t Test. -- 13. Comparing Two Populations : Independent Samples -- 14. Random Sampling, Random Assignment, and Causality -- 15. Comparing Two Populations : Dependent Samples -- 16. Comparing Two Populations Variances : The F Statistic -- 17. Comparing Multiple Population Means: One-factor ANOVA -- 18. Introduction to Factorial Designs -- 19. Computational Methods for the Factorial ANOVA -- 20. Describing Linear Relationships : Regression -- 21. Measuring the Strength of Linear Relationships : Correlation -- 22. Inferences From Nominal Data : The X2 Statistic | |
| 520 | |a Focuses on how to interpret psychological data and statistical results. This book uses repetition to enhance students' memories with multiple examples, reintroductions of the major concepts, and a focus on these concepts in the problems. It is suitable for undergraduate or beginning graduate statistics courses in psychology and education | ||
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